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Commentary on “Validation Methods for Aggregate-Level Test Scale Linking: A Case Study Mapping School District Test Score Distributions to a Common Scale”
Journal of Educational and Behavioral Statistics ( IF 2.116 ) Pub Date : 2020-08-25 , DOI: 10.3102/1076998620949172
Mark L. Davison 1
Affiliation  

This paper begins by setting the linking methods of Reardon, Kalogrides, and Ho in the broader literature on linking. Trends in the validity data suggest that there may be a conditional bias in the estimates of district means, but the data in the article are not conclusive on this point. Further, the data used in their case study might support the validity of the methods only over a limited range of the ability continuum. Applications of the method are then discussed. Contrary to the title, the application of the linking results is not limited to aggregate-level data. Because the potential application is so broad, further research is needed on issues such as the possibility of conditional bias and the validity of estimates over the full range of possible values. Validity is not a dichotomous concept where validity exists or it does not. The evidence reported by Reardon et al. provides substantial, but incomplete, support for the validity of the linked measures in this case study.



中文翻译:

关于“综合水平测试量表链接的验证方法:将学区测试成绩分布映射到通用量表的案例研究”的评论

本文从设置更广泛的链接文献中的Reardon,Kalogrides和Ho的链接方法开始。有效性数据的趋势表明,地区均值的估计中可能存在条件偏差,但是本文中的数据在这一点上尚无定论。此外,他们的案例研究中使用的数据可能仅在能力连续性的有限范围内支持方法的有效性。然后讨论该方法的应用。与标题相反,链接结果的应用不限于聚合级别的数据。由于潜在的应用范围如此广泛,因此需要对诸如条件偏差的可能性以及整个可能值范围内的估计的有效性之类的问题进行进一步研究。有效性不是存在或不存在有效性的二分法概念。Reardon等报道的证据。在此案例研究中,为链接的度量的有效性提供了实质性但不完整的支持。

更新日期:2020-08-25
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